Sparse ICA for blind separation of transmitted and reflected images

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Research output: Contribution to journalArticlepeer-review

Abstract

We address the problem of recovering a scene recorded through a semireflecting medium (i.e. planar lens), with a virtual reflected image being superimposed on the image of the scene transmitted through the semirefelecting lens. Recent studies propose imaging through a linear polarizer at several orientations to estimate the reflected and the transmitted components in the scene. In this study we extend the sparse ICA (SPICA) technique and apply it to the problem of separating the image of the scene without having any a priori knowledge about its structure or statistics. Recent novel advances in the SPICA approach are discussed. Simulation and experimental results demonstrate the efficacy of the proposed methods.

Original languageEnglish
Pages (from-to)84-91
Number of pages8
JournalInternational Journal of Imaging Systems and Technology
Volume15
Issue number1
DOIs
StatePublished - 2005
Externally publishedYes

Keywords

  • Blind source separation (BSS)
  • Clustering
  • ICA
  • Polarization
  • Reflection
  • Sparseness
  • Transparent layers
  • Wavelet packets

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